Intel Nervana NNP-T1000 PCIe + Mezzanine Cards Revealed!

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The new Intel Nervana NNP-T1000 neural network processor comes in PCIe and Mezzanine card options designed for AI training acceleration.

Here is EVERYTHING you need to know about the Intel Nervana NNP-T1000 PCIe and Mezzanine card options!

Intel Nervana NNP-T1000 PCIe + Mezzanine Cards Revealed!


Intel Nervana Neural Network Processors

Intel Nervana neural network processors, NNPs for short, are designed to accelerated two key deep learning technologies – training and inference.

To target these two different tasks, Intel created two AI accelerator families – Nervana NNP-T that’s optimised for training, and Nervana NNP-I that’s optimised for inference.

They are both paired with a full software stack, developed with open components and deep learning framework integration.

Recommended : Intel Nervana AI Accelerators : Everything You Need To Know!


Intel Nervana NNP-T1000

The Intel Nervana NNP-T1000 is not only capable of training even the most complex deep learning models, it is highly scalable – offering near linear scaling and efficiency.

By combining compute, memory and networking capabilities in a single ASIC, it allows for maximum efficiency with flexible and simple scaling.

Each Nervana NNP-T1000 is powered by up to 24 Tensor Processing Clusters (TPCs), and comes with 16 bi-directional Inter-Chip Links (ICL).

Its TPC supports 32-bit floating point (FP32) and brain floating point (bfloat16) formats, allowing for multiple deep learning primitives with maximum processing efficiency.

Its high-speed ICL communication fabric allows for near-linear scaling, directly connecting multiple NNP-T cards within servers, between servers and even inside and across racks.

  • Intel Nervana NNP-T1000
  • Intel Nervana NNP-T1000
  • High compute utilisation using Tensor Processing Clusters (TPC) with bfloat16 numeric format
  • Both on-die SRAM and on-package High-Bandwidth Memory (HBM) keep data local, reducing movement
  • Its Inter-Chip Links (ICL) glueless fabric architecture and fully-programmable router achieves near-linear scaling across multiple cards, systems and PODs
  • Available in PCIe and OCP Open Accelerator Module (OAM) form factors
  • Offers a programmable Tensor-based instruction set architecture (ISA)
  • Supports common open-source deep learning frameworks like TensorFlow, PaddlePaddle and PyTorch


Intel Nervana NNP-T1000 Models

The Intel Nervana NNP-T1000 is currently available in two form factors – a dual-slot PCI Express card, and a OAM Mezzanine Card, with these specifications :

Specifications Intel Nervana NNP-T1300 Intel Nervana NNP-T1400
Form Factor Dual-slot PCIe Card OAM Mezzanine Card
Compliance PCIe CEM OAM 1.0
Compute Cores 22 TPCs 24 TPCs
Frequency 950 MHz 1100 MHz
SRAM 55 MB on-chip, with ECC 60 MB on-chip, with ECC
Memory 32 GB HBM2, with ECC 32 GB HBM2, with ECC
Memory Bandwidth 2.4 Gbps (300 MB/s)
Inter-Chip Link (ICL) 16 x 112 Gbps (448 GB/s)
ICL Topology Ring Ring, Hybrid Cube Mesh,
Fully Connected
Multi-Chassis Scaling Yes Yes
Multi-Rack Scaling Yes Yes
I/O to Host CPU PCIe Gen3 / Gen4 x16
Thermal Solution Passive, Integrated Passive Cooling
TDP 300 W 375 W
Dimensions 265.32 mm x 111.15 mm 165 mm x 102 mm


Intel Nervana NNP-T1000 PCIe Card

This is what the Intel Nervana NNP-T1000 (also known as the NNP-T1300) PCIe card looks like :

Intel Nervana NNP-T1000 PCIe card


Intel Nervana NNP-T1000 OAM Mezzanine Card

This is what the Intel Nervana NNP-T1000 (also known as NNP-T1400) Mezzanine card looks like :

Intel Nervana NNP-T1000 Mezzanine card Intel Nervana NNP-T1000 Mezzanine card


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